面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

Examples and recipes for Llama 2 model

A curated list of causal inference libraries, resources, and applications.

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（低价），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Bonus materials, exercises, and example projects for our Python tutorials

A playbook for systematically maximizing the performance of deep learning models.

A collection of resources and papers on Diffusion Models

POT : Python Optimal Transport

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

PiML (Python Interpretable Machine Learning) toolbox for model development and model validation

PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models"

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

An open-source, low-code machine learning library in Python

[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

A library for graph deep learning research

A Python library for the detection and visualization of emotions in texts

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

A Python Library for Deep Probabilistic Modeling

Slides about how to do research

Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)

GPU Accelerated t-SNE for CUDA with Python bindings

links to conference publications in graph-based deep learning